Titre :

Product line optimization with multiples sites

Auteur(s) :

Dávila, Sebastián [Auteur]
Universidad de Chile = University of Chile [Santiago] [UCHILE]
Labbé, Martine [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Marianov, Vladimir [Auteur]
Instituto de Sistemas Complejos de Ingeniería [ISCI]
Ordóñez, Fernando [Auteur]
Universidad de Chile = University of Chile [Santiago] [UCHILE]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]

Titre de la revue :

Computers and Operations Research

Éditeur :

Elsevier

Date de publication :

2022-12

ISSN :

0305-0548

Mot(s)-clé(s) en anglais :

Product allocation to multiple stores
Bilevel programming
Location
Cut and Branch
Branch and Cut

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]

Résumé en anglais : [en]

We consider the problem faced by a retailer that selects the set of products to allocate in finite capacity stores to maximize patronage. The purchase decision is made by customers that purchase exactly one product that ...
Lire la suite >We consider the problem faced by a retailer that selects the set of products to allocate in finite capacity stores to maximize patronage. The purchase decision is made by customers that purchase exactly one product that maximizes her utility that depends on the product price, distance traveled to the store and reservation price, known to the retailer. The retailer's bilevel optimization problem is transformed into an integer optimization formulation. Small size instances are solved optimally, while for large instances, we explore Benders Decomposition, Branch and Cut and Cut and Branch to solve the problem. Our computational results show that the proposed Cut and Branch method obtains the best results, and improves on the current state of the art.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL